//
// This supports both standard clauses (clause.OrderBy, clause.Limit, clause.Where) and more
// advanced techniques like specifying lock strength and optimizer hints. See the
// [docs] for more depth.
//
//	// add a simple limit clause
//	db.Clauses(clause.Limit{Limit: 1}).Find(&User{})
//	// tell the optimizer to use the `idx_user_name` index
//	db.Clauses(hints.UseIndex("idx_user_name")).Find(&User{})
//	// specify the lock strength to UPDATE

* Transactions, Nested Transactions, Save Point, RollbackTo to Saved Point
* Context, Prepared Statement Mode, DryRun Mode
* Batch Insert, FindInBatches, Find To Map
* SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, NamedArg, Search/Update/Create with SQL Expr
* Composite Primary Key
* Auto Migrations
* Logger
* Extendable, flexible plugin API: Database Resolver (Multiple Databases, Read/Write Splitting) / Prometheus…

		stmt              = db.Statement
		resetBuildClauses bool
	)

	if len(stmt.BuildClauses) == 0 {
		stmt.BuildClauses = p.Clauses
		resetBuildClauses = true
	}

	if optimizer, ok := stmt.Dest.(StatementModifier); ok {
		optimizer.ModifyStatement(stmt)
	}

	if db.DefaultContextTimeout > 0 {
		if _, ok := stmt.Context.Deadline(); !ok {
			stmt.Context, _ = context.WithTimeout(stmt.Context, db.DefaultContextTimeout)
		}

				stmt.DB.Dialector.BindVarTo(writer, stmt, v)
			}
		}
	}
}

// AddClause add clause
func (stmt *Statement) AddClause(v clause.Interface) {
	if optimizer, ok := v.(StatementModifier); ok {
		optimizer.ModifyStatement(stmt)
	} else {
		name := v.Name()
		c := stmt.Clauses[name]
		c.Name = name
		v.MergeClause(&c)
		stmt.Clauses[name] = c
	}
}

    2.11.
*   `tf.keras.optimizers.experimental.Optimizer` will graduate in Release 2.11,
    which means `tf.keras.optimizers.Optimizer` will be an alias of
    `tf.keras.optimizers.experimental.Optimizer`. The current
    `tf.keras.optimizers.Optimizer` will continue to be supported as
    `tf.keras.optimizers.legacy.Optimizer`,
    e.g.,`tf.keras.optimizers.legacy.Adam`. Most users won't be affected by this

![Disable Advanced Profiling](../assets/images/******@****.***)


R8 / ProGuard
-------------

R8 and ProGuard are both code optimizers for `.class` files.

R8 is the [default optimizer][r8] in Android Studio 3.4 and newer. It works well with all
releases of OkHttp.

ProGuard was the previous default. We’re [tracking problems][proguard_problems] with interactions

// optimized, meaning we will use additional parities when drives are offline
// to retain parity SLA.
//
// Default is "availability" optimized.
func (sCfg *Config) AvailabilityOptimized() bool {
	ConfigLock.RLock()
	defer ConfigLock.RUnlock()
	if !sCfg.initialized {
		return true
	}
	return sCfg.Optimize == "availability" || sCfg.Optimize == ""
}

_optimizers = _KerasLazyLoader(
    globals(), submodule="optimizers", name="optimizers")
_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)

			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         Optimize,
			Description: `optimize parity calculation for standard storage class, set 'capacity' for capacity optimized (no additional parity)` + defaultHelpPostfix(Optimize),
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         config.Comment,

import com.google.errorprone.annotations.Immutable;
import com.google.j2objc.annotations.WeakOuter;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/** A {@code RegularImmutableTable} optimized for dense data. */
@GwtCompatible
@Immutable(containerOf = {"R", "C", "V"})
final class DenseImmutableTable<R, C, V> extends RegularImmutableTable<R, C, V> {
  private final ImmutableMap<R, Integer> rowKeyToIndex;